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cankoc35/README.md

Hi, I'm Can 👋

Applied Data Scientist and Engineer building AI systems, with experience in GIS and IoT data.

I work across SQL, PostgreSQL, time-series analytics, and LLM applications, with a focus on turning raw operational data into production-ready analytics, retrieval systems, and decision-support tools.

Focus Areas

  • PostgreSQL, TimescaleDB, PostGIS, and advanced SQL analytics
  • Agentic RAG systems and LLM applications
  • Data pipelines, backend services, and retrieval infrastructure
  • Geospatial, time-series, and operational data systems

Currently Working On

  • Real-time voice agents with STT → LLM → TTS pipelines
  • OCR-based document processing to improve retrieval quality
  • Self-hosted RAG systems with FastAPI, PostgreSQL/pgvector, and Ollama

Tech Stack

Data & Databases: PostgreSQL, TimescaleDB, PostGIS, SQL
Backend & AI: Python, FastAPI, LangChain, LangGraph, Ollama, LLMs

Pinned Loading

  1. exam-paper-reader-ocr exam-paper-reader-ocr Public

    End-to-end exam-sheet OCR pipeline: segments raw exam photos, detects and normalizes text regions, runs PaddleOCR/EasyOCR/TrOCR (base-large), then evaluates predictions against labeled answers with…

    Python

  2. rag-logistics-router rag-logistics-router Public

    AI-powered system that combines Retrieval-Augmented Generation (RAG) with Regression-based ML models to enhance predictions. It leverages LLM-based retrieval for contextual insights and regression …

    Python

  3. voice-agent-pipeline voice-agent-pipeline Public

    Local real‑time voice agent pipeline that listens to the mic, detects speech, transcribes and generates replies.

    Python

  4. self-hosted-rag-studio self-hosted-rag-studio Public

    Self-hosted RAG chat studio with FastAPI, PostgreSQL/pgvector, Ollama, JWT auth, hybrid retrieval, and a React UI for document + model management.

    Python